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All Journal Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Irfan Irfan
Universitas Muhammadiyah Sinjai
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Implementasi Algoritma K-Means untuk Mengelompokkan Data Tingkat Kemiskinan di Sulawesi Selatan Berdasarkan Kota/Kabupaten Irfan; Faizal, Lut
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.220

Abstract

Poverty is a state in which individuals or groups lack sufficient access to the economic, social, and cultural resources required to attain a reasonable standard of living. The Central Bureau of Statistics (BPS) data offers an overview of the poverty rate in South Sulawesi province, although it only presents the poverty rate categorized by district or city. In order to prioritize their answers, the government must possess knowledge about the regions with the highest and lowest poverty rates to effectively address poverty. Hence, it is crucial to categorize districts or municipalities in South Sulawesi according to their poverty rate. This would enable the government to develop suitable policies or strategies to alleviate poverty while considering the poverty rate in each district or municipality. The data clustering in this study was performed using the K-Means algorithm and the RapidMiner program. The findings revealed the presence of four distinct clusters of districts or municipalities, which were categorized according to their poverty levels. The clusters are categorized as follows: Cluster 0 consists of Jeneponto, Gowa, Pangkep, Luwu, and North Luwu. Cluster 1 includes Bulukumba, Takalar, Maros, Wajo, Pinrang, Enrekang, Tana Toraja, and North Toraja. Cluster 2 comprises Bone and Makassar. Lastly, Cluster 3 consists of Selayar Islands, Bantaeng, Sinjai, Barru, Soppeng, Sidrap, East Luwu, Pare-Pare, and Palopo. Cluster 2 has the greatest poverty rate or number among all the clusters.
Implementasi Metode TOPSIS pada Sistem Pendukung Keputusan Penilaian Kinerja Guru di SMKN 10 Bulukumba Lut Faizal; Irfan Irfan
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 8 No 1 (2025): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v8i1.267

Abstract

A TOPSIS-based decision support system (SPK) was developed to objectively assess teacher performance at SMKN 10 Bulukumba. This research analyzed four criteria: pedagogical skills, attendance, teaching methods, and professional attitude. The TOPSIS method was used to calculate preference scores based on relative closeness to the ideal solution, resulting in accurate ranking. As a result, 3 teachers achieved the highest scores, demonstrating optimal performance across all criteria. The implementation of TOPSIS proved its ability to reduce subjective bias and increase transparency of assessment. Schools can identify teachers' strengths and areas of improvement through analysis of criteria scores. The system also cuts evaluation time from weekly to daily, improving management efficiency. The research findings confirm TOPSIS as a reliable evaluation tool that supports teachers' professional development through data-driven feedback. Practical implications include recommendations for the adoption of similar systems in other educational institutions with criteria customization. This study contributes to the field of education management by presenting a scalable solution to improve accountability and teaching quality, while offering an adaptive framework for technology-based performance evaluation.
Perancangan Sistem Informasi Manajemen Aset Kampus Berbasis Web Menggunakan Metode Waterfall Lut Faizal; Irfan Irfan
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 8 No 2 (2025): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v8i2.342

Abstract

Asset management in higher education institutions plays an important role in supporting the smooth running of academic and administrative activities. The manual system that is still in use causes a number of problems, including the risk of recording errors, data duplication, and delays in inventory reporting. This study aims to develop a web-based campus asset management information system that can improve efficiency, accuracy, and transparency in the inventory process. The system development method uses the Waterfall model with stages of requirements analysis, design, implementation, and testing. The CodeIgniter framework was chosen because it is lightweight, flexible, and supports PHP-based application development structures, while the database uses MySQL. Testing was carried out using the Blackbox Testing method on the main modules, including asset management, asset transfers, inventory reports, user access rights, and dashboards. Testing results showed that all system functions ran according to specifications. The developed system was able to reduce problems in the manual system and provide support for strategic decision-making. Thus, the implementation of a web-based campus asset management information system can be a solution to improve efficiency, accountability, and transparency in asset management in higher education environments.
Co-Authors Lut Faizal